| /* So how does this work? | |
| I'm using ANSI escape sequences to control the behavior of the terminal while | |
| cat is outputting the text. I deliberately place these control sequences inside | |
| comments so the C++ compiler doesn't try to treat them as code.*/ | |
| //[2K[2D[A[2K[A[2K[A[2K[A[2K[A | |
| /*The commands in the fake code comment move the cursor to the left edge and | |
| clear out the line, allowing the fake code to take the place of the real code. | |
| And this explanation uses similar commands to wipe itself out too. */ | |
| //[2K[2D[A[2K[A[2K[A[2K[A | |
| #include <cstdio> |
| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Tue May 8 20:40:30 2018 | |
| @author: yanglei | |
| """ | |
| ''' | |
| # Detection Python Environment, Especially distinguish Spyder, Jupyter notebook, Qtconsole |
| #!/usr/bin/env python3 | |
| # Combining coroutines running in an asyncio event loop with | |
| # blocking tasks in thread pool and process pool executors. | |
| # | |
| # Based on https://pymotw.com/3/asyncio/executors.html, but this version runs both | |
| # threads and processes at the same time and interleaves them with asyncio coroutines. | |
| # | |
| # All appears to be working. | |
| # |
| from __future__ import print_function | |
| import base64 | |
| import os | |
| import select | |
| import sys | |
| # tmux requires unrecognized OSC sequences to be wrapped with DCS tmux; | |
| # <sequence> ST, and for all ESCs in <sequence> to be replaced with ESC ESC. It |
| #!/bin/bash | |
| # Sets each CUDA device to persistence mode and sets the application clock | |
| # and power limit to the device's maximum supported values. | |
| # When run with "--dry-run" as first command line argument or not as superuser, | |
| # will display the commands, otherwise it will execute them. | |
| # | |
| # Hint: To run this at boot time, place this script in /root and create a file | |
| # /etc/cron.d/nvidia_boost with the following single line: | |
| # @reboot root /root/nvidia_boost.sh >/dev/null | |
| # |
refer to: https://stackoverflow.com/questions/39371772/how-to-install-anaconda-on-raspberry-pi-3-model-b
{USER}: pi
Install Miniconda 3:
wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-armv7l.sh
sudo md5sum Miniconda3-latest-Linux-armv7l.sh # (optional) check md5
sudo /bin/bash Miniconda3-latest-Linux-armv7l.sh # -> change default directory to /home/pi/miniconda3
| Public Domain |
| import torch | |
| import torch.nn as nn | |
| from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence | |
| seqs = ['gigantic_string','tiny_str','medium_str'] | |
| # make <pad> idx 0 | |
| vocab = ['<pad>'] + sorted(set(''.join(seqs))) | |
| # make model |
| import torch | |
| import torch.nn as nn | |
| from torch.autograd import Variable | |
| batch_size = 3 | |
| max_length = 3 | |
| hidden_size = 2 | |
| n_layers =1 | |
| # container |
| from graphviz import Digraph | |
| import torch | |
| from torch.autograd import Variable, Function | |
| def iter_graph(root, callback): | |
| queue = [root] | |
| seen = set() | |
| while queue: | |
| fn = queue.pop() | |
| if fn in seen: |